Why not just trust public benchmarks?

Public benchmarks rarely match your task and can be gamed. The eval that matters is the one built from your real inputs and acceptance criteria.

What's a minimum viable eval?

A small set of real inputs with known-good outputs and a clear pass/fail check — run it every time you change a prompt or model.

How does this help my prompts?

Evals turn prompt tuning from guesswork into measurement. Oort ranks prompts by real usage so you start from something proven.

LLM Evals & Benchmarks

How models actually perform — benchmarks, leaderboards, and evaluation methods that go beyond vibes.

What to know

Evals are how you know a model or prompt actually works — beyond vibes. That means task-specific test sets, clear pass criteria, and tracking regressions as you change prompts or models. This hub tracks benchmarks, leaderboards, and evaluation methods you can actually use.

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LLM Evals & Benchmarks — FAQ

Why not just trust public benchmarks?: Public benchmarks rarely match your task and can be gamed. The eval that matters is the one built from your real inputs and acceptance criteria.
What's a minimum viable eval?: A small set of real inputs with known-good outputs and a clear pass/fail check — run it every time you change a prompt or model.
How does this help my prompts?: Evals turn prompt tuning from guesswork into measurement. Oort ranks prompts by real usage so you start from something proven.